CRM

Route High-Risk Attio Merges to Slack for Approval Before Overwriting

Detects Attio person merges where survivorship rules disagree on a protected field (owner, ARR, or contract status) and posts an interactive Slack approval before any value is…

CategoryCRM
Enginesim
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerAttio merge-event webhookAttio
  • ActionFetch both records and compute survivorshipAttio
  • LogicFlag conflict on protected fields
  • ActionPost interactive approval to SlackSlack
  • ActionPatch survivor after approvalAttio
  • OutputLog decision and approver to PostgresPostgreSQLPostgres

What it does

Some merges are too consequential to auto-resolve. This workflow scores each merge for risk, auto-applies safe field choices, and escalates conflicts on protected fields to a human in Slack with one-click approve or reject buttons.

When to use it

Use it when duplicate merges can touch revenue-bearing or ownership fields and you want automation for the easy 80% while keeping a human gate on the risky 20%.

How it works

  1. 1An Attio merge-event webhook delivers the surviving and losing person record IDs.
  2. 2The workflow pulls both records and runs survivorship rules to compute proposed winning values.
  3. 3A logic step flags the merge as high-risk if a protected field (record owner, ARR, contract status) differs between the two records.
  4. 4Low-risk merges patch Attio immediately; high-risk merges post a Slack message showing the two values and an Approve / Reject action.
  5. 5On approval the surviving Attio record is patched; every decision and the approver are recorded in a Postgres audit table.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AttioReal-time CRM with structured data + powerful views.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  3. 3
    Connect PostgresAny Postgres URL — query, write, migrate.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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